ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.07410
  4. Cited By
Block based Singular Value Decomposition approach to matrix
  factorization for recommender systems

Block based Singular Value Decomposition approach to matrix factorization for recommender systems

17 July 2019
Prasad Bhavana
Vikas Kumar
V. Padmanabhan
ArXivPDFHTML

Papers citing "Block based Singular Value Decomposition approach to matrix factorization for recommender systems"

3 / 3 papers shown
Title
Enhancing Cross-Category Learning in Recommendation Systems with
  Multi-Layer Embedding Training
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training
Selim F. Yilmaz
Benjamin Ghaemmaghami
A. Singh
Benjamin Cho
Leo Orshansky
Lei Deng
Michael Orshansky
AI4TS
33
0
0
27 Sep 2023
Mixed-Precision Embedding Using a Cache
Mixed-Precision Embedding Using a Cache
J. Yang
Jianyu Huang
Jongsoo Park
P. T. P. Tang
Andrew Tulloch
32
36
0
21 Oct 2020
Mixed Dimension Embeddings with Application to Memory-Efficient
  Recommendation Systems
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems
Antonio A. Ginart
Maxim Naumov
Dheevatsa Mudigere
Jiyan Yang
James Zou
27
100
0
25 Sep 2019
1